task axis projection: cross-task, TR-wise

1 intro

• projections etc:
  • cross task, train both runs
  • network-level (schaefer 400 surfaces)
• spatial prewhitening: vanilla
• GLM for residuals: noblock
• residual types: errts

1.1 Purpose

1.2 time-series

1.2.1 Axcpt

1.2.2 Cuedts

1.2.3 Stern

1.2.4 Stroop

1.3 time-aggregated

1.3.1 Axcpt

percentage of TRs by number of concurrently ‘active’ event regressors in rest (block<=0) and task (block>0)

	block<=0	block>0
0	10.552119	0.000000
1	0.482524	1.939375
2	0.000000	51.336220
3	0.000000	35.689762

1.3.2 Cuedts

percentage of TRs by number of concurrently ‘active’ event regressors in rest (block<=0) and task (block>0)

	block<=0	block>0
0	10.3802612	0.000000
1	0.4600871	18.966618
2	0.0000000	69.587808
3	0.0000000	0.605225

1.3.3 Stern

percentage of TRs by number of concurrently ‘active’ event regressors in rest (block<=0) and task (block>0)

	block<=0	block>0
0	10.349057	0.000000
1	0.495283	9.783019
2	0.000000	78.540881
3	0.000000	0.831761

1.3.4 Stroop

percentage of TRs by number of concurrently ‘active’ event regressors in rest (block<=0) and task (block>0)

	block<=0	block>0
0	12.4982530	0.0000000
1	0.5520615	2.7445842
2	0.0000000	7.1436059
3	0.0000000	54.1561845
4	0.0000000	22.7795248
5	0.0000000	0.1257862

1.4 decoding analysis

• cutpoints (not implemented yet!)
• exclusion of run and block on/off boundaries